Colored point cloud reconstruction based on image inpainting

Masafumi Nakagawa, Shido Tanaka, Tatsuya Yamamoto

研究成果: Conference contribution

抄録

Base and floor maps are required for outdoor and indoor applications. In unknown environments, laser scanning is a more adequate approach. However, in laser scanning, when there are large missing and occluded areas, it is not easy to generate complete base and floor maps automatically. Thus, we focused on an image inpainting for colored point cloud rendering. Our approach was aimed at improving the quality of a digital elevation model (DEM) and ortho images generated from colored point cloud data. Our inpainting procedure consisted of base patch extraction, matching point detection, and image reconstruction steps. These steps were iterated for the reconstruction of a natural image. We selected two places for our study areas, an indoor and an outdoor environment. We have developed an inpainting approach for colored DEM generation using a colored point cloud. Moreover, we conducted two experiments using a terrestrial laser scanner and an indoor mobile mapping system. Through our experiments, we have confirmed that our approach could reconstruct natural textures and colored DEM from colored point cloud data with missing areas.

本文言語English
ホスト出版物のタイトルACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings
出版社Asian Association on Remote Sensing
出版ステータスPublished - 2015
イベント36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 - Quezon City, Metro Manila, Philippines
継続期間: 2015 10 242015 10 28

Other

Other36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015
国/地域Philippines
CityQuezon City, Metro Manila
Period15/10/2415/10/28

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信

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